ArticleImaging neuroscience (Cambridge, Mass.)2024
A novel, robust, and portable platform for magnetoencephalography using optically-pumped magnetometers.
Article in Imaging neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed.
- Opportunities for Quantum Sensing in Epilepsy Diagnostics.Sensors (Basel, Switzerland) · 2026Review
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- Neuromagnetism "On the Cheap": Evaluating a Combined Cylindrical Shield and Partial-Coverage OPM-MEG System for Detecting Sensorimotor Responses in Humans.Sensors (Basel, Switzerland) · 2026Article
- Revolutionizing Pediatric Neurophysiology With Magnetoencephalography.Psychophysiology · 2026Review
- Potential ofEpilepsia open · 2025Article
- SPM-30 years and beyond.Cerebral cortex (New York, N.Y. : 1991) · 2025Review
- Using Wearable MEG to Study the Neural Control of Human Stepping.Sensors (Basel, Switzerland) · 2025Article
- Wearable MEG data recorded during human stepping.Data in brief · 2025Article
- Wearable Magnetoencephalography in a Lightly Shielded Environment.IEEE transactions on bio-medical engineering · 2025Article
- Determining sensor geometry and gain in a wearable MEG system.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Towards a 384-channel magnetoencephalography system based on optically pumped magnetometers.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Inferring Mental States from Brain Data: Ethico-legal Questions about Social Uses of Brain Data.The Hastings Center report · 2025Article
- Demonstrating equivalence across magnetoencephalography scanner platforms using neural fingerprinting.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- EEG in Education: A Scoping Review of Hardware, Software, and Methodological Aspects.Sensors (Basel, Switzerland) · 2024Article
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21 authors.
Funding
Abstract
Magnetoencephalography (MEG) measures brain function via assessment of magnetic fields generated by neural currents. Conventional MEG uses superconducting sensors, which place significant limitations on performance, practicality, and deployment; however, the field has been revolutionised in recent years by the introduction of optically-pumped magnetometers (OPMs). OPMs enable measurement of the MEG signal without cryogenics, and consequently the conception of "OPM-MEG" systems which ostensibly allow increased sensitivity and resolution, lifespan compliance, free subject movement, and lower cost. However, OPM-MEG is in its infancy with existing limitations on both sensor and system design. Here, we report a new OPM-MEG design with miniaturised and integrated electronic control, a high level of portability, and improved sensor dynamic range. We show that this system produces equivalent measures compared with an established OPM-MEG instrument; specifically, when measuring task-induced beta-band, gamma-band, and evoked neuro-electrical responses, source localisations from the two systems were comparable and temporal correlation of measured brain responses was >0.7 at the individual level and >0.9 for groups. Using an electromagnetic phantom, we demonstrate improved dynamic range by running the system in background fields up to 8 nT. We show that the system is effective in gathering data during free movement (including a sitting-to-standing paradigm) and that it is compatible with simultaneous electroencephalography (EEG). Finally, we demonstrate portability by moving the system between two laboratories. Overall, our new system is shown to be a significant step forward for OPM-MEG and offers an attractive platform for next generation functional medical imaging.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.